Medium Risk

broadcast_content

Sends HTML content to multiple displays at once. Provide display_ids to target specific displays or set all to true to target all accessible displays. Locked displays are skipped. Returns sent and skipped lists with reasons. Requires content_only scope.

Risk signalsAccepts raw HTML/template content (html) · Handles credentials or secrets (access_token)

Part of the Agentview server.

broadcast_content can modify Agentview data, with no limits today. PolicyLayer puts allow, deny, and rate-limit rules on every call. Live in minutes.

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AI agents use broadcast_content to create or modify resources in Agentview. Write operations carry medium risk because an autonomous agent could trigger bulk unintended modifications. Rate limits prevent a single agent session from making hundreds of changes in rapid succession. Argument validation ensures the agent passes expected values.

Without a policy, an AI agent could call broadcast_content repeatedly, creating or modifying resources faster than any human could review. PolicyLayer's rate limiting ensures write operations happen at a controlled pace, and argument validation catches malformed or unexpected inputs before they reach Agentview.

Write tools can modify data. A rate limit prevents runaway bulk operations from AI agents.

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "broadcast_content": {
      "limits": [
        {
          "counter": "broadcast_content_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

See the full Agentview policy for all 55 tools.

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These attack patterns abuse exactly the kind of access broadcast_content gives an agent. Each links to the full case and the policy that stops it:

Browse the full MCP Attack Database →

Every attack above starts with a tool call. PolicyLayer checks each one against your policy first, so broadcast_content only ever does what you allow.

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Other write tools across the catalogue. The same approach applies to each: rate-limit and validate the arguments.

What does the broadcast_content tool do? +

Sends HTML content to multiple displays at once. Provide display_ids to target specific displays or set all to true to target all accessible displays. Locked displays are skipped. Returns sent and skipped lists with reasons. Requires content_only scope.. It is categorised as a Write tool in the Agentview MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on broadcast_content? +

Register the Agentview MCP server in PolicyLayer and add a rule for broadcast_content: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches Agentview. Nothing to install.

What risk level is broadcast_content? +

broadcast_content is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.

Can I rate-limit broadcast_content? +

Yes. Add a rate_limit block to the broadcast_content rule in your PolicyLayer policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.

How do I block broadcast_content completely? +

Set action: deny in the PolicyLayer policy for broadcast_content. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.

What MCP server provides broadcast_content? +

broadcast_content is provided by the Agentview MCP server (rafaelkocurek-nvob/agentview). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Agentview tool call.

Deterministic rules across all 55 Agentview tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

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4,600+ MCP servers and 31,000+ tools scanned and risk-classified.

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